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POSTDOCTORAL SCHOLAR Requisition # 4428 Position Basics Advertising Ends on:Extended Until Position is Filled Advertising Started on:Tuesday, June 10th, 2025 College:Carver College of Medicine
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penetration of renewable energy sources, power systems face growing challenges related to transmission bottlenecks, fluctuating power flows, and grid congestion. Phase Shifting Transformers (PSTs) are vital in
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to contamination like dust particles. These drawbacks are not present when operated inside flow channels with clean gases, which is the case for the applications addressed in this project. We will focus on two types
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. Fixed term, full time position available for 2 years with a possibility of extension. About the project: We are seeking a highly motivated Structural Biologist to lead projects aiming to understand
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account...
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will be working in both groups (50% at UAntwerp, 50% at KU Leuven ) for the full duration of this project, who will be closely assisted by two postdoctoral fellows, based respectively at A-PECS (UAntwerp
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Doctoral Associate Duke Department of Neurosurgery This Postdoctoral Associate position will play a critical role in making the use of new imaging tools more automatic and streamlined. Key responsibilities
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Location: South Kensington About the role: The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple
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Please refer to the How to Apply for a Job (for External Candidates) job aid for instructions on how to apply. If you are an active McGill employee (ie: currently in an active contract or position at McGill University), do not apply through this Career Site. Login to your McGill Workday account...
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The role will develop new AI methods for identifying the instantaneous state of a fluid flow from partial sensor information. The research will couple techniques from optimization and control theory